Educational Attainment in the Town of Cleveland, Chippewa County, Wisconsin (Town)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Chippewa County and the Town of Cleveland
Town of Cleveland
Chippewa County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma223.162939%33.902941%23.162939%23.2%14562.939297%58.217491%62.939297%62.9%39413.897764%7.879569%13.897764%13.9%87
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Chippewa County at large.
Scope: population of Chippewa County and the Town of Cleveland
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-31.678672%-31.678672%-31.7%23.163%23.2%33.903%33.9%8.110632%8.110632%+8.1%62.939%62.9%58.217%58.2%76.377211%76.377211%+76.4%13.898%13.9%7.880%7.88%
% percentage with given level in the Town of Cleveland
ref. percentage with given level in Chippewa County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Chippewa County and the Town of Cleveland
Town of Cleveland
Chippewa County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.718790%01.597444%0.773039%1.597444%1.6%103.035144%3.829027%3.035144%3.0%196.709265%13.957641%6.709265%6.7%4211.821086%14.624443%11.821086%11.8%7414.376997%20.417712%14.376997%14.4%9048.562300%37.799778%48.562300%48.6%3049.584665%5.327637%9.584665%9.6%603.514377%1.858005%3.514377%3.5%220.798722%0.693926%0.798722%0.8%5
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Chippewa County at large.
Scope: population of Chippewa County and the Town of Cleveland
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.719%0.72%106.644807%106.644807%+106.6%1.597%1.60%0.773%0.77%-20.733297%-20.733297%-20.7%3.035%3.04%3.829%3.83%-51.931239%-51.931239%-51.9%6.709%6.71%13.958%14.0%-19.168983%-19.168983%-19.2%11.821%11.8%14.624%14.6%-29.585662%-29.585662%-29.6%14.377%14.4%20.418%20.4%28.472447%28.472447%+28.5%48.562%48.6%37.800%37.8%79.904601%79.904601%+79.9%9.585%9.58%5.328%5.33%89.147874%89.147874%+89.1%3.514%3.51%1.858%1.86%15.101831%15.101831%+15.1%0.799%0.80%0.694%0.69%
% percentage with given level in the Town of Cleveland
ref. percentage with given level in Chippewa County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Chippewa County and the Town of Cleveland
More Females More Males
Chippewa County
Town of Cleveland
0%100%200%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-30.895758%-24.972258%-30.895758%31%26.766%26.8%20.448%20.4%-12.775538%-12.775538%13%8.309833%67.286%67.3%59.664%59.7%234.366246%45.782597%234.366246%234%5.948%5.95%19.888%19.9%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Chippewa County and the Town of Cleveland
More Females More Males
Chippewa County
Town of Cleveland
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None201.400560%31.506289%201.400560%201%0.743%0.74%2.241%2.24%-64.907245%29.171669%29.171669%29%2.602%2.60%3.361%3.36%-27.503470%0.466853%0.466853%0%6.691%6.69%6.723%6.72%-105.935137%-17.735083%-105.935137%106%16.729%16.7%8.123%8.12%-73.548756%-6.557373%-73.548756%74%18.959%19.0%10.924%10.9%0.853264%17.092534%0.853264%1%48.327%48.3%48.739%48.7%201.400560%61.343301%201.400560%201%4.461%4.46%13.445%13.4%239.075630%21.615690%239.075630%239%1.487%1.49%5.042%5.04%1,000.000000%11.376434%1,000.000000%> 1000%0.000%0%1.401%1.40%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Chippewa County and the Town of Cleveland
Town of Cleveland
Chippewa County
0%5%10%15%B.X.Total65+45-6435-4425-346.153846%12.026182%6.153846%6.2%81307.540984%12.953764%7.540984%7.5%2330511.956522%16.811858%11.956522%12.0%11920.000000%0.000000%0.0%15.984991%099
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Chippewa County at large.
Scope: population of Chippewa County and the Town of Cleveland
100%80%60%40%20%0%%ref.65+45-6435-4425-34-48.829594%-48.829594%48.8%6.154%6.15%12.026%12.0%-41.785386%-41.785386%41.8%7.541%7.54%12.954%13.0%-28.880426%-28.880426%28.9%11.957%12.0%16.812%16.8%-100.000000%-100.000000%100.0%0.000%0%15.985%16.0%
% percentage in the Town of Cleveland with a Bachelor's degree
ref percentage in Chippewa County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Chippewa County and the Town of Cleveland
More Females More Males
Chippewa County
Town of Cleveland
0%500%1,000%FM65+45-6435-44-32.142857%-32.142857%32.1%5.544779%7.143%7.14%5.405%5.41%-90.754258%-5.797604%-90.754258%90.8%10.219%10.2%5.357%5.36%-96.235786%1,000.000000%1,000.000000%> 1000%0.000%0%22.917%22.9%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Chippewa County and the Town of Cleveland
Town of Cleveland
Chippewa County
$0k$10k$20k$30kCount%Some CollegeH.S. Diploma2No H.S. Diploma2Total$31,836.000000$32,249.000000$31,836.000000$31.8k16426.198%26.2%$24,318.000000$30,046.000000$24,318.000000$24.3k30448.562%48.6%$13,333.000000$18,529.000000$13,333.000000$13.3k8713.898%13.9%$29,375.000000$32,519.000000$29,375.000000$29.4k626100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Chippewa County and the Town of Cleveland
Female Male
Chippewa County
Town of Cleveland
Shaded bar tips show excess over facing bar.
$20k$0k$20kFMSome CollegeH.S. Diploma2No H.S. Diploma2Total$-31,528.000000$-28,298.000000$-31,528.000000$31.5k$31,528.000000$704.000000$28,298.000000$10,908.000000$32,232.000000$32.2k9668$-20,913.000000$-22,721.000000$-20,913.000000$20.9k$20,913.000000$12,837.000000$22,721.000000$12,889.000000$33,750.000000$33.8k130174$-10,833.000000$-7,084.000000$-17,059.000000$-17,917.000000$17.9k$10,833.000000$17,059.000000$3,632.000000$10,833.000000$10.8k1671$-22,270.000000$-28,463.000000$-22,270.000000$22.3k$22,270.000000$9,605.000000$28,463.000000$10,375.000000$31,875.000000$31.9k269357
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Chippewa County and the Town of Cleveland
Town of Cleveland
Chippewa County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.978723%84.479430%82.978723%83.0%3982.706767%80.742964%82.706767%82.7%11068.217054%70.238295%68.217054%68.2%17667.241379%52.883194%67.241379%67.2%39
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Chippewa County and the Town of Cleveland
Female Male
Chippewa County
Town of Cleveland
Shaded bar tips show excess over facing bar.
5%0%5%10%15%MFWhite1-5.947955%-6.274434%-5.947955%5.9%5.947955%13.940000%6.274434%2.407253%19.887955%19.9%7116
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Chippewa County and the Town of Cleveland
Female Male
Chippewa County
Town of Cleveland
Shaded bar tips show excess over facing bar.
20%15%10%5%0%5%10%15%MFWhite1-10.037175%-17.228377%-4.741795%-10.037175%10.0%10.037175%2.287755%17.228377%12.324930%12.3%4427
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Town of Cleveland

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
29.67%30.13%30.59%31.04%31.50%31.97%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
57.3%58.2%59.1%60.0%60.9%61.8%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
8.56%9.00%9.43%9.86%10.29%10.72%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.29%0.38%0.47%0.55%0.64%0.73%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.47%0.53%0.58%0.64%0.69%0.75%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
3.48%3.62%3.76%3.90%4.03%4.17%

Detailed: Bachelor's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
12.47%12.79%13.11%13.42%13.74%14.06%

Detailed: Associate's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
10.4%11.3%12.2%13.0%13.9%14.8%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
17.6%18.2%18.8%19.3%19.9%20.5%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
39.70%40.02%40.34%40.67%40.99%41.31%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
5.42%5.85%6.27%6.69%7.11%7.53%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.06%2.12%2.18%2.23%2.29%2.35%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.847%0.891%0.935%0.979%1.023%1.067%
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Educational Attainment by County Subdivision in the Eau Claire Area

There are 50 county subdivisions in the Eau Claire Area. This section compares the Town of Cleveland to all of the county subdivisions in the Eau Claire Area and to those entities that contain or substantially overlap with the Town of Cleveland.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Cleveland, selected other county subdivisions in the Eau Claire Area, and entities that contain the Town of Cleveland
0%10%20%30%Count#Town of FairchildFairchildTown of Bridge CreekBrg CrkFairchildTown of WilsonWilsonTown of RubyTown of EdsonAugustaStanleyTown of DelmarDelmarCadottCornellTown of ClevelandClevelandUnited States of AmericaUnited StatesTown of ColburnColburnBoydNew AuburnEast North CentralTown of Birch CreekBirch CrkMidwestTown of EstellaEstellaTown of LudingtonLudingtonTown of Otter CreekOtter CrkTown of BloomerBloomerTown of SampsonSampsonBloomerWisconsinTown of Lake HolcombeLk HolcombeTown of SigelTown of ArthurArthurFall CreekTown of LincolnLincolnTown of GoetzTown of BrunswickBrunswickTown of UnionChippewa CountyChippewaTown of Clear CreekClear CrkEau Claire Metro AreaEau ClaireTown of Eagle PointEagle PtChippewa FallsTown of TildenTildenEau ClaireEau ClaireTown of SeymourSeymourAltoonaTown of AuburnAuburnTown of DrammenDrammenTown of AnsonTown of HowardHowardTown of Cooks ValleyCooks VlyTown of WoodmohrWoodmohrTown of LafayetteLafayetteTown of HallieHallieTown of WheatonWheatonTown of Pleasant ValleyPleasant VlyLake HallieTown of WashingtonWashington33.333333%33.333333%33.3%89131.569507%31.569507%31.6%352226.358696%26.358696%26.4%97322.910217%22.910217%22.9%74421.673004%21.673004%21.7%57518.497110%18.497110%18.5%128615.984776%15.984776%16.0%168715.704554%15.704554%15.7%438814.168937%14.168937%14.2%104914.038877%14.038877%14.0%1301013.983903%13.983903%14.0%1391113.897764%13.897764%13.9%871213.020590%13.020590%13.0%27,818,38027.8M12.520325%12.520325%12.5%771311.340206%11.340206%11.3%441410.778443%10.778443%10.8%361510.719464%10.719464%10.7%3,363,7843.36M10.542169%10.542169%10.5%351610.244520%10.244520%10.2%4,641,8354.64M10.210210%10.210210%10.2%341710.025063%10.025063%10.0%80189.597523%9.597523%9.6%31199.580052%9.580052%9.6%73209.558824%9.558824%9.6%65218.861757%8.861757%8.9%225228.637220%8.637220%8.6%336,096336k8.636977%8.636977%8.6%64238.534851%8.534851%8.5%60248.284024%8.284024%8.3%42258.216216%8.216216%8.2%76268.201058%8.201058%8.2%62278.015267%8.015267%8.0%42287.965368%7.965368%8.0%92297.904509%7.904509%7.9%149307.879569%7.879569%7.9%3,4867.387387%7.387387%7.4%41317.283258%7.283258%7.3%7,8596.961753%6.961753%7.0%162326.840047%6.840047%6.8%647336.521739%6.521739%6.5%75346.218487%6.218487%6.2%74356.128290%6.128290%6.1%2,398365.998209%5.998209%6.0%134375.986884%5.986884%6.0%283385.566219%5.566219%5.6%29395.357143%5.357143%5.4%30405.357143%5.357143%5.4%90415.094340%5.094340%5.1%27424.878049%4.878049%4.9%26434.776579%4.776579%4.8%31444.651696%4.651696%4.7%203454.545455%4.545455%4.5%5463.907135%3.907135%3.9%69473.861004%3.861004%3.9%80483.750000%3.750000%3.8%168492.527675%2.527675%2.5%13750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Cleveland, selected other county subdivisions in the Eau Claire Area, and entities that contain the Town of Cleveland
0%10%20%30%Count#Town of WashingtonWashingtonTown of Pleasant ValleyPleasant VlyAltoonaEau ClaireUnited States of AmericaUnited StatesMidwestEast North CentralTown of LafayetteLafayetteWisconsinTown of SeymourSeymourEau Claire Metro AreaEau ClaireTown of AnsonTown of WheatonWheatonLake HallieTown of BrunswickBrunswickTown of UnionTown of LincolnLincolnFall CreekTown of HowardHowardTown of AuburnAuburnTown of LudingtonLudingtonTown of TildenTildenTown of DrammenDrammenChippewa FallsTown of SampsonSampsonTown of Eagle PointEagle PtTown of Lake HolcombeLk HolcombeChippewa CountyChippewaCornellTown of GoetzNew AuburnTown of BloomerBloomerTown of SigelTown of Clear CreekClear CrkTown of Otter CreekOtter CrkBloomerCadottTown of Cooks ValleyCooks VlyTown of ArthurArthurTown of DelmarDelmarAugustaTown of HallieHallieTown of WoodmohrWoodmohrEau ClaireTown of Birch CreekBirch CrkTown of ClevelandClevelandTown of ColburnColburnTown of Bridge CreekBrg CrkTown of EstellaEstellaTown of WilsonWilsonBoydTown of FairchildFairchildTown of EdsonTown of RubyStanleyFairchild38.837638%38.837638%38.8%2,105136.438224%36.438224%36.4%755233.932727%33.932727%33.9%1,604332.432916%32.432916%32.4%12,69112.7k430.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.391384%28.391384%28.4%1,239528.373439%28.373439%28.4%1,104,0821.10M26.410027%26.410027%26.4%590626.046986%26.046986%26.0%28,10628.1k25.654762%25.654762%25.7%431724.971687%24.971687%25.0%441823.906250%23.906250%23.9%1,071922.943723%22.943723%22.9%2651022.917772%22.917772%22.9%4321121.957672%21.957672%22.0%1661221.945946%21.945946%21.9%2031321.886792%21.886792%21.9%1161421.689060%21.689060%21.7%1131521.177945%21.177945%21.2%1691621.043478%21.043478%21.0%2421720.892857%20.892857%20.9%1171820.668147%20.668147%20.7%1,9551920.294118%20.294118%20.3%1382020.154706%20.154706%20.2%4692119.973009%19.973009%20.0%1482219.278497%19.278497%19.3%8,52918.913481%18.913481%18.9%1882317.748092%17.748092%17.7%932417.664671%17.664671%17.7%592517.454068%17.454068%17.5%1332617.354196%17.354196%17.4%1222717.297297%17.297297%17.3%962816.718266%16.718266%16.7%542916.305632%16.305632%16.3%4143014.902808%14.902808%14.9%1383113.883677%13.883677%13.9%743213.412229%13.412229%13.4%683313.351499%13.351499%13.4%983413.130352%13.130352%13.1%1383512.727273%12.727273%12.7%143612.634823%12.634823%12.6%823712.352941%12.352941%12.4%1473811.746988%11.746988%11.7%393911.341853%11.341853%11.3%714010.894309%10.894309%10.9%674110.582960%10.582960%10.6%1184210.510511%10.510511%10.5%354310.216718%10.216718%10.2%334410.051546%10.051546%10.1%39459.737828%9.737828%9.7%26468.959538%8.959538%9.0%62477.604563%7.604563%7.6%20487.278594%7.278594%7.3%203494.076087%4.076087%4.1%1550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Cleveland, selected other county subdivisions in the Eau Claire Area, and entities that contain the Town of Cleveland
0%1%2%3%4%5%6%Count#AltoonaTown of Pleasant ValleyPleasant VlyTown of WashingtonWashingtonTown of AnsonTown of LafayetteLafayetteTown of Eagle PointEagle PtUnited States of AmericaUnited StatesTown of Clear CreekClear CrkMidwestEau ClaireEast North CentralWisconsinTown of DrammenDrammenTown of WheatonWheatonEau Claire Metro AreaEau ClaireTown of LincolnLincolnTown of SeymourSeymourTown of WilsonWilsonTown of HallieHallieTown of EstellaEstellaTown of SampsonSampsonTown of ClevelandClevelandTown of AuburnAuburnTown of GoetzChippewa CountyChippewaTown of BrunswickBrunswickFall CreekChippewa FallsCadottAugustaTown of SigelTown of HowardHowardTown of BloomerBloomerTown of TildenTildenLake HallieTown of DelmarDelmarTown of LudingtonLudingtonTown of FairchildFairchildTown of ColburnColburnTown of UnionTown of Otter CreekOtter CrkTown of ArthurArthurTown of Cooks ValleyCooks VlyTown of Bridge CreekBrg CrkBloomerTown of EdsonTown of WoodmohrWoodmohrCornellStanleyEau ClaireTown of Lake HolcombeLk HolcombeFairchildBoydNew AuburnTown of RubyTown of Birch CreekBirch Crk6.367675%6.367675%6.4%30115.888031%5.888031%5.9%12225.184502%5.184502%5.2%28134.107143%4.107143%4.1%6944.078827%4.078827%4.1%17853.437903%3.437903%3.4%8063.336158%3.336158%3.3%7,127,6737.13M3.243243%3.243243%3.2%1872.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,12382.855432%2.855432%2.9%896,039896k2.703886%2.703886%2.7%105,215105k2.678571%2.678571%2.7%1592.548131%2.548131%2.5%45102.458644%2.458644%2.5%2,6532.116402%2.116402%2.1%16111.924799%1.924799%1.9%43121.857585%1.857585%1.9%6131.818182%1.818182%1.8%2141.801802%1.801802%1.8%6151.617647%1.617647%1.6%11161.597444%1.597444%1.6%10171.535509%1.535509%1.5%8181.526718%1.526718%1.5%8191.491829%1.491829%1.5%6601.385281%1.385281%1.4%16201.297297%1.297297%1.3%12211.289777%1.289777%1.3%122221.187905%1.187905%1.2%11231.141770%1.141770%1.1%12241.137980%1.137980%1.1%8251.132075%1.132075%1.1%6261.049869%1.049869%1.0%8270.956522%0.956522%1.0%11280.892857%0.892857%0.9%40290.817439%0.817439%0.8%6300.751880%0.751880%0.8%6310.749064%0.749064%0.7%2320.650407%0.650407%0.7%4330.636605%0.636605%0.6%12340.619195%0.619195%0.6%2350.591716%0.591716%0.6%3360.562852%0.562852%0.6%3370.538117%0.538117%0.5%6380.512013%0.512013%0.5%13390.433526%0.433526%0.4%3400.308166%0.308166%0.3%2410.301811%0.301811%0.3%3420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in the Eau Claire Area, and entities that contain the Town of Cleveland
Female
Male
5x0x5xFM#Cooks VlySampsonBirch CrkDrammenBoydTildenClevelandFairchildEagle PtAugustaEau ClaireClear CrkTown of AnsonDelmarLake HallieLudingtonHallieChippewa FallsTown of EdsonChippewaCadottEstellaTown of RubyTown of SigelHowardBrunswickBrg CrkLincolnEau ClaireWheatonWisconsinTown of GoetzWashingtonArthurMidwestEast North CentralUnited StatesEau ClaireLk HolcombeBloomerWilsonPleasant VlySeymourCornellWoodmohrLafayetteFairchildNew AuburnFall CreekOtter CrkStanleyBloomerTown of UnionColburnAuburnAltoona-1.000000x-1.000000x9.979381x9.979381x9.98x0.826%0.83%8.247%8.25%1-1.000000x-1.000000x4.494238x4.494238x4.49x3.385%3.38%15.211%15.2%2-1.000000x-1.000000x4.131285x4.131285x4.13x3.922%3.92%16.201%16.2%3-1.000000x-1.000000x3.619048x3.619048x3.62x2.256%2.26%8.163%8.16%4-1.000000x-1.000000x3.617021x3.617021x3.62x5.000%5.00%18.085%18.1%5-1.000000x-1.000000x3.603306x3.603306x3.60x2.752%2.75%9.917%9.92%6-1.000000x-1.000000x3.343662x3.343662x3.34x5.948%5.95%19.888%19.9%7-1.000000x-1.000000x3.107263x3.107263x3.11x12.353%12.4%38.384%38.4%8-1.000000x-1.000000x2.404301x2.404301x2.40x4.025%4.03%9.677%9.68%9-1.000000x-1.000000x2.143370x2.143370x2.14x10.097%10.1%21.642%21.6%10-1.000000x-1.000000x2.129538x2.129538x2.13x3.901%3.90%8.307%8.31%11-1.000000x-1.000000x2.069119x2.069119x2.07x4.688%4.69%9.699%9.70%12-1.000000x-1.000000x2.037143x2.037143x2.04x3.478%3.48%7.086%7.09%13-1.000000x-1.000000x1.955514x1.955514x1.96x9.309%9.31%18.204%18.2%14-1.000000x-1.000000x1.799271x1.799271x1.80x2.719%2.72%4.892%4.89%15-1.000000x-1.000000x1.748697x1.748697x1.75x7.235%7.24%12.652%12.7%16-1.000000x-1.000000x1.673077x1.673077x1.67x3.448%3.45%5.769%5.77%17-1.000000x-1.000000x1.541115x1.541115x1.54x5.392%5.39%8.310%8.31%18-1.000000x-1.000000x1.458898x1.458898x1.46x14.861%14.9%21.680%21.7%19-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%-1.000000x-1.000000x1.438148x1.438148x1.44x11.670%11.7%16.783%16.8%20-1.000000x-1.000000x1.423729x1.423729x1.42x8.333%8.33%11.864%11.9%21-1.000000x-1.000000x1.395074x1.395074x1.40x17.797%17.8%24.828%24.8%22-1.000000x-1.000000x1.356863x1.356863x1.36x7.225%7.23%9.804%9.80%23-1.000000x-1.000000x1.348760x1.348760x1.35x4.314%4.31%5.818%5.82%24-1.000000x-1.000000x1.305386x1.305386x1.31x6.872%6.87%8.970%8.97%25-1.000000x-1.000000x1.297126x1.297126x1.30x27.255%27.3%35.354%35.4%26-1.000000x-1.000000x1.258741x1.258741x1.26x7.222%7.22%9.091%9.09%27-1.000000x-1.000000x1.229459x1.229459x1.23x6.533%6.53%8.032%8.03%-1.000000x-1.000000x1.225890x1.225890x1.23x3.490%3.49%4.278%4.28%28-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.201321x1.201321x1.20x7.280%7.28%8.745%8.75%29-1.000000x-1.000000x1.189433x1.189433x1.19x2.310%2.31%2.748%2.75%30-1.000000x-1.000000x1.154722x1.154722x1.15x7.623%7.62%8.803%8.80%31-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%32-1.000000x-1.000000x1.078980x1.078980x1.08x8.311%8.31%8.967%8.97%33-1.000000x-1.000000x1.068679x1.068679x1.07x8.596%8.60%9.186%9.19%34-1.000000x-1.000000x1.024825x1.024825x1.02x22.603%22.6%23.164%23.2%35-1.000000x-1.000000x1.015375x1.015375x1.02x3.831%3.83%3.890%3.89%36-1.000000x-1.000000x1.015061x1.015061x1.02x5.952%5.95%6.042%6.04%37-1.022482x-1.022482x1.02x1.000000x1.000000x14.126%14.1%13.816%13.8%38-1.031553x-1.031553x1.03x1.000000x1.000000x4.854%4.85%4.706%4.71%39-1.035690x-1.035690x1.04x1.000000x1.000000x4.735%4.74%4.572%4.57%40-1.110913x-1.110913x1.11x1.000000x1.000000x35.036%35.0%31.538%31.5%41-1.144742x-1.144742x1.14x1.000000x1.000000x11.515%11.5%10.059%10.1%42-1.166853x-1.166853x1.17x1.000000x1.000000x8.811%8.81%7.551%7.55%43-1.170563x-1.170563x1.17x1.000000x1.000000x10.390%10.4%8.876%8.88%44-1.263364x-1.263364x1.26x1.000000x1.000000x18.471%18.5%14.621%14.6%45-1.292308x-1.292308x1.29x1.000000x1.000000x10.769%10.8%8.333%8.33%46-1.344056x-1.344056x1.34x1.000000x1.000000x9.091%9.09%6.764%6.76%47-1.553991x-1.553991x1.55x1.000000x1.000000x15.493%15.5%9.970%9.97%48-1.815237x-1.815237x1.82x1.000000x1.000000x7.287%7.29%4.015%4.01%49-9.548129x-9.548129x9.55x1.000000x1.000000x10.327%10.3%1.082%1.08%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in the Eau Claire Area, and entities that contain the Town of Cleveland
Female
Male
10x5x0x5x10xFM#Brg CrkAugustaCornellDelmarTown of EdsonTown of SigelWoodmohrOtter CrkAltoonaCadottClevelandDrammenTown of AnsonTildenPleasant VlyEau ClaireBloomerWashingtonEau ClaireCooks VlyWilsonEast North CentralMidwestWisconsinUnited StatesLake HallieSeymourTown of UnionBrunswickLincolnLafayetteHallieChippewaEagle PtClear CrkLudingtonColburnWheatonChippewa FallsTown of GoetzSampsonHowardEstellaFall CreekAuburnBloomerArthurFairchild-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.010%1.01%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.239%2.24%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.658%0.66%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.496%1.50%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.813%0.81%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.241%2.24%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.588%0.59%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.183%1.18%8-1.000000x-1.000000x5.812657x5.812657x5.81x1.954%1.95%11.356%11.4%9-1.000000x-1.000000x3.089355x3.089355x3.09x0.604%0.60%1.865%1.86%10-1.000000x-1.000000x3.014006x3.014006x3.01x0.743%0.74%2.241%2.24%11-1.000000x-1.000000x2.488095x2.488095x2.49x1.504%1.50%3.741%3.74%12-1.000000x-1.000000x2.421053x2.421053x2.42x2.360%2.36%5.714%5.71%13-1.000000x-1.000000x2.402204x2.402204x2.40x0.550%0.55%1.322%1.32%14-1.000000x-1.000000x1.908132x1.908132x1.91x4.028%4.03%7.685%7.69%15-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%16-1.000000x-1.000000x1.747312x1.747312x1.75x0.769%0.77%1.344%1.34%17-1.000000x-1.000000x1.723410x1.723410x1.72x3.814%3.81%6.573%6.57%18-1.000000x-1.000000x1.684412x1.684412x1.68x1.831%1.83%3.085%3.08%-1.000000x-1.000000x1.663230x1.663230x1.66x0.413%0.41%0.687%0.69%19-1.000000x-1.000000x1.649718x1.649718x1.65x1.370%1.37%2.260%2.26%20-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.498036x1.498036x1.50x0.722%0.72%1.082%1.08%21-1.000000x-1.000000x1.462450x1.462450x1.46x1.557%1.56%2.277%2.28%22-1.000000x-1.000000x1.346098x1.346098x1.35x0.541%0.54%0.728%0.73%23-1.000000x-1.000000x1.181063x1.181063x1.18x1.266%1.27%1.495%1.50%24-1.000000x-1.000000x1.168831x1.168831x1.17x1.944%1.94%2.273%2.27%25-1.000000x-1.000000x1.119306x1.119306x1.12x3.844%3.84%4.303%4.30%26-1.000000x-1.000000x1.115385x1.115385x1.12x1.724%1.72%1.923%1.92%27-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%-1.000000x-1.000000x1.074688x1.074688x1.07x3.309%3.31%3.557%3.56%28-1.000000x-1.000000x1.070234x1.070234x1.07x3.125%3.13%3.344%3.34%29-1.062016x-1.062016x1.06x1.000000x1.000000x0.775%0.78%0.730%0.73%30-1.165493x-1.165493x1.17x1.000000x1.000000x0.704%0.70%0.604%0.60%31-1.176294x-1.176294x1.18x1.000000x1.000000x2.768%2.77%2.353%2.35%32-1.370833x-1.370833x1.37x1.000000x1.000000x1.490%1.49%1.087%1.09%33-1.679438x-1.679438x1.68x1.000000x1.000000x1.916%1.92%1.141%1.14%34-1.911538x-1.911538x1.91x1.000000x1.000000x2.154%2.15%1.127%1.13%35-2.156863x-2.156863x2.16x1.000000x1.000000x1.569%1.57%0.727%0.73%36-2.269231x-2.269231x2.27x1.000000x1.000000x2.564%2.56%1.130%1.13%37-2.686475x-2.686475x2.69x1.000000x1.000000x1.844%1.84%0.686%0.69%38-3.327935x-3.327935x3.33x1.000000x1.000000x2.429%2.43%0.730%0.73%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.931%0.93%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.345%1.35%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.460%1.46%0.000%0%42
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 42 by male-to-female sex ratio

Educational Attainment by County Subdivision in Wisconsin

There are 1,927 county subdivisions in Wisconsin. This section compares the Town of Cleveland to the 50 most populous county subdivisions in Wisconsin and to those entities that contain or substantially overlap with the Town of Cleveland. The least populous of the compared county subdivisions has a population of 16,289.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Cleveland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Cleveland
0%5%10%15%Count#BeloitRacineMilwaukeeTown of ClevelandClevelandUnited States of AmericaUnited StatesGreen BaySheboyganKenoshaManitowocCudahyWausauEast North CentralMidwestWest AllisOshkoshBeaver DamSouth MilwaukeeS MilwaukeeMarshfieldFond du LacFitchburgWisconsinJanesvilleMenomonieGreenfieldChippewa CountyChippewaPleasant PrairieAppletonFranklinEau Claire Metro AreaEau ClaireWaukeshaTown of Grand ChuteGrand ChuteLa CrosseWisconsin RapidsCaledoniaWest BendSuperiorTown of MenashaMenashaAshwaubenonEau ClaireStevens PointHowardMount PleasantMt PleasantNeenahOak CreekGermantownOnalaskaMadisonMenomonee FallsNew BerlinOconomowocSun PrairieDe PereMuskegoWauwatosaBrookfieldMiddletonMequon18.491431%18.491431%18.5%4,197117.907441%17.907441%17.9%8,710217.485105%17.485105%17.5%63,80063.8k313.897764%13.897764%13.9%8713.020590%13.020590%13.0%27,818,38027.8M12.535944%12.535944%12.5%8,414411.643417%11.643417%11.6%3,806511.549265%11.549265%11.5%7,360611.206563%11.206563%11.2%2,609711.082337%11.082337%11.1%1,455810.776184%10.776184%10.8%2,885910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.028497%10.028497%10.0%4,399109.995428%9.995428%10.0%4,154119.950027%9.950027%10.0%1,115129.190270%9.190270%9.2%1,379138.829004%8.829004%8.8%1,091148.713948%8.713948%8.7%2,547158.662728%8.662728%8.7%1,613168.637220%8.637220%8.6%336,096336k8.522583%8.522583%8.5%3,704178.211921%8.211921%8.2%620188.204982%8.204982%8.2%2,296197.879569%7.879569%7.9%3,4867.709924%7.709924%7.7%1,111207.618904%7.618904%7.6%3,034217.392323%7.392323%7.4%1,924227.283258%7.283258%7.3%7,8597.158983%7.158983%7.2%3,393237.144208%7.144208%7.1%1,133247.116644%7.116644%7.1%2,075257.048284%7.048284%7.0%889266.746719%6.746719%6.7%1,208276.565400%6.565400%6.6%1,422286.289585%6.289585%6.3%1,142296.244351%6.244351%6.2%829306.168099%6.168099%6.2%739316.128290%6.128290%6.1%2,398326.111996%6.111996%6.1%883336.065319%6.065319%6.1%780346.042598%6.042598%6.0%1,149355.863324%5.863324%5.9%1,015365.765641%5.765641%5.8%1,421375.227570%5.227570%5.2%719384.888290%4.888290%4.9%617394.836248%4.836248%4.8%7,351404.484909%4.484909%4.5%1,165414.236891%4.236891%4.2%1,267423.988090%3.988090%4.0%442433.955766%3.955766%4.0%812443.911088%3.911088%3.9%600453.554446%3.554446%3.6%598463.390471%3.390471%3.4%1,167472.806979%2.806979%2.8%761482.731305%2.731305%2.7%351492.107701%2.107701%2.1%35550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Cleveland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Cleveland
0%20%40%60%Count#MequonMiddletonWauwatosaBrookfieldMadisonFitchburgOconomowocMenomonee FallsSun PrairieNew BerlinGermantownFranklinStevens PointDe PereWaukeshaOnalaskaMenomonieMuskegoPleasant PrairieLa CrosseMount PleasantMt PleasantNeenahEau ClaireAppletonTown of Grand ChuteGrand ChuteOak CreekUnited States of AmericaUnited StatesMidwestGreenfieldCaledoniaTown of MenashaMenashaHowardEast North CentralWisconsinMarshfieldWest BendAshwaubenonEau Claire Metro AreaEau ClaireWausauOshkoshGreen BayWest AllisFond du LacMilwaukeeKenoshaSuperiorJanesvilleCudahyManitowocSouth MilwaukeeS MilwaukeeSheboyganChippewa CountyChippewaBeaver DamRacineBeloitWisconsin RapidsTown of ClevelandCleveland63.254765%63.254765%63.3%10,65410.7k158.898140%58.898140%58.9%7,569258.155142%58.155142%58.2%20,01720.0k358.053926%58.053926%58.1%15,73915.7k456.337583%56.337583%56.3%85,63285.6k546.358754%46.358754%46.4%8,632644.229902%44.229902%44.2%4,902741.080228%41.080228%41.1%10,67110.7k841.077605%41.077605%41.1%8,432940.780498%40.780498%40.8%12,19512.2k1039.610295%39.610295%39.6%5,4481137.841472%37.841472%37.8%9,8491236.471240%36.471240%36.5%5,2691336.151489%36.151489%36.2%5,5461435.550164%35.550164%35.6%16,84916.8k1535.152908%35.152908%35.2%4,4371635.139073%35.139073%35.1%2,6531733.499762%33.499762%33.5%5,6361833.074254%33.074254%33.1%4,7661932.942347%32.942347%32.9%9,6052032.747831%32.747831%32.7%6,2272132.464907%32.464907%32.5%5,6202232.432916%32.432916%32.4%12,69112.7k2332.296218%32.296218%32.3%12,86112.9k2432.202535%32.202535%32.2%5,1072531.640023%31.640023%31.6%7,7982630.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.921131%28.921131%28.9%8,0932728.919296%28.919296%28.9%5,1782828.909310%28.909310%28.9%3,8382928.794712%28.794712%28.8%3,7033028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M28.348305%28.348305%28.3%3,5033127.212706%27.212706%27.2%5,8943226.525332%26.525332%26.5%3,1783326.046986%26.046986%26.0%28,10628.1k25.519199%25.519199%25.5%6,8323424.478452%24.478452%24.5%10,17310.2k3524.139215%24.139215%24.1%16,20216.2k3623.980394%23.980394%24.0%10,51910.5k3723.606692%23.606692%23.6%6,9003823.517740%23.517740%23.5%85,81285.8k3922.927488%22.927488%22.9%14,61114.6k4022.415597%22.415597%22.4%4,0704122.035848%22.035848%22.0%9,5774221.471552%21.471552%21.5%2,8194321.017138%21.017138%21.0%4,8934420.519827%20.519827%20.5%3,0794519.530103%19.530103%19.5%6,3844619.278497%19.278497%19.3%8,52918.623951%18.623951%18.6%2,0874717.525031%17.525031%17.5%8,5244816.605719%16.605719%16.6%3,7694915.880441%15.880441%15.9%2,0035011.341853%11.341853%11.3%71
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Cleveland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Cleveland
0%5%10%Count#MequonMiddletonBrookfieldMadisonWauwatosaFitchburgMarshfieldMenomonieLa CrosseStevens PointOnalaskaOconomowocNew BerlinUnited States of AmericaUnited StatesMenomonee FallsSun PrairieNeenahFranklinDe PereGermantownMidwestEau ClaireEast North CentralAppletonWisconsinMuskegoPleasant PrairieBeaver DamEau Claire Metro AreaEau ClaireWausauTown of Grand ChuteGrand ChuteCaledoniaMount PleasantMt PleasantTown of MenashaMenashaWaukeshaMilwaukeeGreenfieldOak CreekBeloitGreen BayKenoshaWisconsin RapidsTown of ClevelandClevelandJanesvilleOshkoshSuperiorChippewa CountyChippewaFond du LacHowardCudahyWest BendWest AllisRacineManitowocSouth MilwaukeeS MilwaukeeSheboyganAshwaubenon11.084724%11.084724%11.1%1,867110.022566%10.022566%10.0%1,28829.217661%9.217661%9.2%2,49939.171173%9.171173%9.2%13,94013.9k48.094131%8.094131%8.1%2,78657.196563%7.196563%7.2%1,34065.867120%5.867120%5.9%72574.993377%4.993377%5.0%37784.777583%4.777583%4.8%1,39394.679172%4.679172%4.7%676104.547615%4.547615%4.5%574114.222683%4.222683%4.2%468123.762039%3.762039%3.8%1,125133.336158%3.336158%3.3%7,127,6737.13M3.295350%3.295350%3.3%856143.288352%3.288352%3.3%675153.188724%3.188724%3.2%552163.100626%3.100626%3.1%807173.083241%3.083241%3.1%473182.995492%2.995492%3.0%412192.893416%2.893416%2.9%1,311,0191.31M2.869921%2.869921%2.9%1,123202.855432%2.855432%2.9%896,039896k2.794937%2.794937%2.8%1,113212.703886%2.703886%2.7%105,215105k2.674750%2.674750%2.7%450222.637058%2.637058%2.6%380232.552204%2.552204%2.6%286242.458644%2.458644%2.5%2,6532.416704%2.416704%2.4%647252.396116%2.396116%2.4%380262.356884%2.356884%2.4%422272.303445%2.303445%2.3%438282.244652%2.244652%2.2%298292.192214%2.192214%2.2%1,039302.043126%2.043126%2.0%7,455311.868992%1.868992%1.9%523321.809624%1.809624%1.8%446331.784377%1.784377%1.8%405341.777440%1.777440%1.8%1,193351.762204%1.762204%1.8%1,123361.688734%1.688734%1.7%213371.597444%1.597444%1.6%101.555418%1.555418%1.6%676381.549604%1.549604%1.5%644391.525582%1.525582%1.5%277401.491829%1.491829%1.5%6601.454035%1.454035%1.5%425411.384137%1.384137%1.4%178421.302460%1.302460%1.3%171431.292765%1.292765%1.3%280441.251567%1.251567%1.3%549451.155451%1.155451%1.2%562461.133972%1.133972%1.1%264470.893036%0.893036%0.9%134480.868820%0.868820%0.9%284490.784576%0.784576%0.8%9450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Cleveland
Female
Male
1x0x1x2x3xFM#ClevelandDe PereMenashaOshkoshFranklinCaledoniaChippewaManitowocGreen BayPleasant PrairieWauwatosaWaukeshaJanesvilleMt PleasantSuperiorEau ClaireStevens PointAppletonWisconsinRacineGrand ChuteGermantownMadisonMuskegoKenoshaMequonMidwestEast North CentralMilwaukeeWest BendOnalaskaUnited StatesEau ClaireWisconsin RapidsMenomonee FallsBeloitBeaver DamLa CrosseHowardOak CreekGreenfieldMiddletonFond du LacMarshfieldNew BerlinSheboyganNeenahFitchburgSun PrairieWest AllisS MilwaukeeCudahyWausauBrookfieldAshwaubenonMenomonieOconomowoc-1.000000x-1.000000x3.343662x3.343662x3.34x5.948%5.95%19.888%19.9%-1.000000x-1.000000x2.147134x2.147134x2.15x2.553%2.55%5.481%5.48%1-1.000000x-1.000000x1.888774x1.888774x1.89x4.337%4.34%8.192%8.19%2-1.000000x-1.000000x1.812682x1.812682x1.81x7.022%7.02%12.729%12.7%3-1.000000x-1.000000x1.578941x1.578941x1.58x5.723%5.72%9.036%9.04%4-1.000000x-1.000000x1.534399x1.534399x1.53x5.333%5.33%8.182%8.18%5-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%-1.000000x-1.000000x1.432549x1.432549x1.43x9.294%9.29%13.313%13.3%6-1.000000x-1.000000x1.408197x1.408197x1.41x10.435%10.4%14.694%14.7%7-1.000000x-1.000000x1.380848x1.380848x1.38x6.493%6.49%8.965%8.97%8-1.000000x-1.000000x1.306431x1.306431x1.31x2.969%2.97%3.879%3.88%9-1.000000x-1.000000x1.304061x1.304061x1.30x6.240%6.24%8.137%8.14%10-1.000000x-1.000000x1.294088x1.294088x1.29x7.468%7.47%9.664%9.66%11-1.000000x-1.000000x1.293422x1.293422x1.29x5.323%5.32%6.885%6.89%12-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%13-1.000000x-1.000000x1.229459x1.229459x1.23x6.533%6.53%8.032%8.03%-1.000000x-1.000000x1.229327x1.229327x1.23x5.499%5.50%6.760%6.76%14-1.000000x-1.000000x1.219351x1.219351x1.22x6.887%6.89%8.397%8.40%15-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.214505x1.214505x1.21x16.245%16.2%19.730%19.7%16-1.000000x-1.000000x1.207489x1.207489x1.21x6.484%6.48%7.830%7.83%17-1.000000x-1.000000x1.203474x1.203474x1.20x4.768%4.77%5.738%5.74%18-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%19-1.000000x-1.000000x1.159324x1.159324x1.16x3.296%3.30%3.822%3.82%20-1.000000x-1.000000x1.152187x1.152187x1.15x10.767%10.8%12.406%12.4%21-1.000000x-1.000000x1.145574x1.145574x1.15x1.970%1.97%2.257%2.26%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%23-1.000000x-1.000000x1.118245x1.118245x1.12x6.211%6.21%6.945%6.95%24-1.000000x-1.000000x1.113721x1.113721x1.11x4.646%4.65%5.175%5.17%25-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.104897x1.104897x1.10x5.834%5.83%6.446%6.45%26-1.000000x-1.000000x1.104741x1.104741x1.10x6.724%6.72%7.428%7.43%27-1.000000x-1.000000x1.077248x1.077248x1.08x4.329%4.33%4.663%4.66%28-1.000000x-1.000000x1.069954x1.069954x1.07x17.920%17.9%19.173%19.2%29-1.000000x-1.000000x1.063348x1.063348x1.06x9.653%9.65%10.265%10.3%30-1.000000x-1.000000x1.059381x1.059381x1.06x6.918%6.92%7.329%7.33%31-1.000000x-1.000000x1.056613x1.056613x1.06x5.903%5.90%6.237%6.24%32-1.000000x-1.000000x1.048827x1.048827x1.05x5.631%5.63%5.906%5.91%33-1.000000x-1.000000x1.046668x1.046668x1.05x8.030%8.03%8.405%8.40%34-1.000000x-1.000000x1.022109x1.022109x1.02x2.704%2.70%2.764%2.76%35-1.000000x-1.000000x1.018058x1.018058x1.02x8.641%8.64%8.797%8.80%36-1.000000x-1.000000x1.015610x1.015610x1.02x8.765%8.76%8.902%8.90%37-1.000000x-1.000000x1.012610x1.012610x1.01x4.211%4.21%4.265%4.26%38-1.000000x-1.000000x1.004509x1.004509x1.00x11.618%11.6%11.670%11.7%39-1.001253x-1.001253x1.00x1.000000x1.000000x5.867%5.87%5.859%5.86%40-1.016031x-1.016031x1.02x1.000000x1.000000x8.734%8.73%8.596%8.60%41-1.022158x-1.022158x1.02x1.000000x1.000000x3.997%4.00%3.910%3.91%42-1.024115x-1.024115x1.02x1.000000x1.000000x10.145%10.1%9.906%9.91%43-1.068390x-1.068390x1.07x1.000000x1.000000x9.477%9.48%8.871%8.87%44-1.082508x-1.082508x1.08x1.000000x1.000000x11.515%11.5%10.638%10.6%45-1.083232x-1.083232x1.08x1.000000x1.000000x11.187%11.2%10.327%10.3%46-1.121159x-1.121159x1.12x1.000000x1.000000x2.957%2.96%2.637%2.64%47-1.237978x-1.237978x1.24x1.000000x1.000000x6.794%6.79%5.488%5.49%48-1.368790x-1.368790x1.37x1.000000x1.000000x9.414%9.41%6.877%6.88%49-1.427909x-1.427909x1.43x1.000000x1.000000x4.664%4.66%3.266%3.27%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in Wisconsin, and entities that contain the Town of Cleveland
Female
Male
1x0x1x2x3xFM#NeenahClevelandPleasant PrairieCudahyMenomonieOnalaskaMuskegoHowardMarshfieldMequonJanesvilleSheboyganRacineBeaver DamBrookfieldGreen BayBeloitStevens PointWausauFitchburgSun PrairieEau ClaireOshkoshAppletonFond du LacNew BerlinWest AllisEau ClaireWauwatosaWest BendEast North CentralMidwestWisconsinMt PleasantCaledoniaUnited StatesSuperiorManitowocFranklinLa CrosseS MilwaukeeMiddletonMenomonee FallsMadisonMilwaukeeDe PereGrand ChuteKenoshaGermantownWaukeshaChippewaOconomowocWisconsin RapidsMenashaGreenfieldOak CreekAshwaubenon-1.000000x-1.000000x3.129204x3.129204x3.13x1.585%1.59%4.960%4.96%1-1.000000x-1.000000x3.014006x3.014006x3.01x0.743%0.74%2.241%2.24%-1.000000x-1.000000x2.927208x2.927208x2.93x1.353%1.35%3.961%3.96%2-1.000000x-1.000000x2.631735x2.631735x2.63x0.722%0.72%1.899%1.90%3-1.000000x-1.000000x2.628013x2.628013x2.63x2.819%2.82%7.408%7.41%4-1.000000x-1.000000x2.571855x2.571855x2.57x2.645%2.64%6.802%6.80%5-1.000000x-1.000000x2.519338x2.519338x2.52x1.531%1.53%3.858%3.86%6-1.000000x-1.000000x2.492011x2.492011x2.49x0.802%0.80%1.999%2.00%7-1.000000x-1.000000x2.351130x2.351130x2.35x3.588%3.59%8.437%8.44%8-1.000000x-1.000000x2.345235x2.345235x2.35x6.743%6.74%15.813%15.8%9-1.000000x-1.000000x2.320788x2.320788x2.32x0.952%0.95%2.209%2.21%10-1.000000x-1.000000x2.236989x2.236989x2.24x0.541%0.54%1.209%1.21%11-1.000000x-1.000000x2.147202x2.147202x2.15x0.747%0.75%1.604%1.60%12-1.000000x-1.000000x2.134058x2.134058x2.13x1.646%1.65%3.514%3.51%13-1.000000x-1.000000x2.050517x2.050517x2.05x6.177%6.18%12.666%12.7%14-1.000000x-1.000000x2.006236x2.006236x2.01x1.188%1.19%2.383%2.38%15-1.000000x-1.000000x2.005610x2.005610x2.01x1.223%1.22%2.453%2.45%16-1.000000x-1.000000x1.994529x1.994529x1.99x3.154%3.15%6.290%6.29%17-1.000000x-1.000000x1.957848x1.957848x1.96x1.658%1.66%3.247%3.25%18-1.000000x-1.000000x1.808864x1.808864x1.81x5.081%5.08%9.190%9.19%19-1.000000x-1.000000x1.806537x1.806537x1.81x2.381%2.38%4.302%4.30%20-1.000000x-1.000000x1.786228x1.786228x1.79x2.083%2.08%3.720%3.72%21-1.000000x-1.000000x1.747870x1.747870x1.75x1.115%1.12%1.949%1.95%22-1.000000x-1.000000x1.733790x1.733790x1.73x2.062%2.06%3.574%3.57%23-1.000000x-1.000000x1.728996x1.728996x1.73x1.083%1.08%1.873%1.87%24-1.000000x-1.000000x1.706236x1.706236x1.71x2.810%2.81%4.794%4.79%25-1.000000x-1.000000x1.693783x1.693783x1.69x0.936%0.94%1.585%1.59%26-1.000000x-1.000000x1.684412x1.684412x1.68x1.831%1.83%3.085%3.08%-1.000000x-1.000000x1.663311x1.663311x1.66x6.193%6.19%10.301%10.3%27-1.000000x-1.000000x1.632200x1.632200x1.63x0.991%0.99%1.617%1.62%28-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557391x1.557391x1.56x1.833%1.83%2.855%2.85%29-1.000000x-1.000000x1.550147x1.550147x1.55x1.851%1.85%2.870%2.87%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%31-1.000000x-1.000000x1.494707x1.494707x1.49x0.918%0.92%1.372%1.37%32-1.000000x-1.000000x1.475485x1.475485x1.48x2.501%2.50%3.691%3.69%33-1.000000x-1.000000x1.473120x1.473120x1.47x3.888%3.89%5.727%5.73%34-1.000000x-1.000000x1.458132x1.458132x1.46x0.734%0.73%1.070%1.07%35-1.000000x-1.000000x1.452651x1.452651x1.45x8.299%8.30%12.055%12.1%36-1.000000x-1.000000x1.388151x1.388151x1.39x2.789%2.79%3.872%3.87%37-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%38-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%39-1.000000x-1.000000x1.363936x1.363936x1.36x2.638%2.64%3.598%3.60%40-1.000000x-1.000000x1.256412x1.256412x1.26x2.128%2.13%2.674%2.67%41-1.000000x-1.000000x1.229981x1.229981x1.23x1.588%1.59%1.953%1.95%42-1.000000x-1.000000x1.211592x1.211592x1.21x2.722%2.72%3.299%3.30%43-1.000000x-1.000000x1.195990x1.195990x1.20x2.002%2.00%2.394%2.39%44-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%-1.000000x-1.000000x1.068496x1.068496x1.07x4.087%4.09%4.367%4.37%45-1.000000x-1.000000x1.014900x1.014900x1.01x1.677%1.68%1.702%1.70%46-1.000000x-1.000000x1.008002x1.008002x1.01x2.236%2.24%2.254%2.25%47-1.098352x-1.098352x1.10x1.000000x1.000000x1.951%1.95%1.776%1.78%48-1.142247x-1.142247x1.14x1.000000x1.000000x1.927%1.93%1.687%1.69%49-1.623043x-1.623043x1.62x1.000000x1.000000x0.961%0.96%0.592%0.59%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Town of Cleveland to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Town of Cleveland. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Cleveland, selected other county subdivisions in the Midwest, and entities that contain the Town of Cleveland
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipTown of ClevelandClevelandCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWisconsinCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineChippewa CountyChippewaSchaumburg TownshipSchaumburgEau Claire Metro AreaEau ClaireLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.897764%13.897764%13.9%8713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.637220%8.637220%8.6%336,096336k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.879569%7.879569%7.9%3,4867.739434%7.739434%7.7%7,226387.283258%7.283258%7.3%7,8597.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Cleveland, selected other county subdivisions in the Midwest, and entities that contain the Town of Cleveland
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralWisconsinSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoEau Claire Metro AreaEau ClaireWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNChippewa CountyChippewaThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitTown of ClevelandCleveland72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3426.046986%26.046986%26.0%28,10628.1k25.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4019.278497%19.278497%19.3%8,52918.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k5011.341853%11.341853%11.3%71
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Cleveland, selected other county subdivisions in the Midwest, and entities that contain the Town of Cleveland
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheWisconsinCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaEau Claire Metro AreaEau ClaireProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoTown of ClevelandClevelandNorth TownshipNChippewa CountyChippewaSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.703886%2.703886%2.7%105,215105k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.458644%2.458644%2.5%2,6532.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.597444%1.597444%1.6%101.575684%1.575684%1.6%1,606411.491829%1.491829%1.5%6601.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in the Midwest, and entities that contain the Town of Cleveland
Female
Male
1x0x1x2x3xFM#ClevelandChippewaCedar RapidsLincolnDetroitOmahaEau ClaireToledoWisconsinThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x3.343662x3.343662x3.34x5.948%5.95%19.888%19.9%-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.229459x1.229459x1.23x6.533%6.53%8.032%8.03%-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in the Midwest, and entities that contain the Town of Cleveland
Female
Male
1x0x1x2x3xFM#ClevelandRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsEau ClaireOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleWisconsinKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthChippewaDetroitProvisoThornton-1.000000x-1.000000x3.014006x3.014006x3.01x0.743%0.74%2.241%2.24%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.684412x1.684412x1.68x1.831%1.83%3.085%3.08%-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Town of Cleveland to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Town of Cleveland. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Town of Cleveland, selected other county subdivisions in the United States, and entities that contain the Town of Cleveland
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoTown of ClevelandClevelandOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleWisconsinNortheast TarrantNE TarrantChippewa CountyChippewaEau Claire Metro AreaEau ClairePlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.897764%13.897764%13.9%8713.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.637220%8.637220%8.6%336,096336k8.418271%8.418271%8.4%31,44331.4k487.879569%7.879569%7.9%3,4867.283258%7.283258%7.3%7,8595.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Town of Cleveland, selected other county subdivisions in the United States, and entities that contain the Town of Cleveland
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…WisconsinSacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaEau Claire Metro AreaEau ClaireMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoChippewa CountyChippewaBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitTown of ClevelandCleveland60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.373439%28.373439%28.4%1,104,0821.10M28.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.046986%26.046986%26.0%28,10628.1k26.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.278497%19.278497%19.3%8,52919.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5011.341853%11.341853%11.3%71
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Town of Cleveland, selected other county subdivisions in the United States, and entities that contain the Town of Cleveland
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensWisconsinNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyEau Claire Metro AreaEau ClaireOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxTown of ClevelandClevelandChippewa CountyChippewaDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.703886%2.703886%2.7%105,215105k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.458644%2.458644%2.5%2,6532.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.597444%1.597444%1.6%101.491829%1.491829%1.5%6601.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in the United States, and entities that contain the Town of Cleveland
Female
Male
1x0x1x2x3xFM#ClevelandChippewa1, CharlotteDetroitEau ClaireWisconsinBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x3.343662x3.343662x3.34x5.948%5.95%19.888%19.9%-1.000000x-1.000000x1.457826x1.457826x1.46x6.371%6.37%9.288%9.29%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.229459x1.229459x1.23x6.533%6.53%8.032%8.03%-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Town of Cleveland, selected other county subdivisions in the United States, and entities that contain the Town of Cleveland
Female
Male
1x0x1x2x3xFM#ClevelandEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasEau ClaireFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasWisconsinSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoChippewaDetroit-1.000000x-1.000000x3.014006x3.014006x3.01x0.743%0.74%2.241%2.24%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684412x1.684412x1.68x1.831%1.83%3.085%3.08%-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.080157x1.080157x1.08x1.432%1.43%1.547%1.55%-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

For additional information about the data presented on this site, including our sources, please see the About Page.

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Demographics

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More Maps to Explore

State:
Wisconsin
County:
Chippewa
Metro Area:
Eau Claire Area
ZIP Codes:
54724, 54732, 54745, 54748, 54757
Unified School Districts:
Bloomer, Chippewa Falls, Cornell, New Auburn
Congressional District:
WI-7
State Senate District:
WI-23
Assembly District:
WI-67
Neighboring Cities:
Cornell
Neighboring Towns:
Arthur, Birch Creek, Bloomer, Eagle Point, Estella, Lake Holcombe, Sampson
Nearby Towns:
Anson, Big Bend, Colburn, Goetz, Ruby, Washington, Willard, Woodmohr